Search Results for "classification" - Page 20

3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar"

This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.

This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.

Ragnarok Online Site Engine (ROse) - Free Control Panel (CMS) for eAthena Ragnarok Online server Emulator. Written in PHP language. Use smarty php class for templates. contains many functions for manage eAthena dabases.

...The program not only can search pure microsatellite but also can search compound and complex microsatellite. The outputs are Microsoft Excel statistics and SQLite database file which is convenient for analysis and classification of microsatellites. The program is designed to run on Windows and Linux system as a standalone application with a user-friendly interface.

ThManager is a tool for creating and visualizing knowledge organization models, such as thesauri, classification schemes, glosaries and other types of controlled vocabulary in SKOS format

...These features comprise sound including parts-of-speech, accent, phoneme, stress, tone, break index. ProseVis allows a reader to map the features extracted from OpenMary (http://mary.dfki.de/) Text-to-speech System and predictive classification data to the "original" text. We developed this project with the ultimate goal of facilitating a reader's ability to analyze and disseminate the results in human readable form. Research has shown that mapping the data to the text in its original form allows for the kind of human reading that literary scholars engage: words in the context of phrases, sentences, lines, stanzas, and paragraphs. ...

A fast, configurable faceted classification and browsing tool for large collection of unstructured data. Its major features include multi-faceted search, hit counts, term highlights and population of free text search results into facets. An AJAX app.

Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques

Bioinformatics Perl extension for the analysis of antibody variable domain repertoires. Suitable for mammalian repertoire sequences obtained either by Sanger or 454 sequencing. Methods published in Glanville, Zhai, Berka et al, PNAS 2009.

isvm: incremental svm implementation for Stephe ruiping's algorithm based on libsvm svmovoovr: implement for OVO OVR classification. pso-svm: PSO svm implementation

This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.

RepMiner takes a graph theory approach to the classification and assembly of the repetitive fraction of genomic sequence data. Sequence lengths analyzed by RepMiner can range from full length transposable elements to low coverage sample sequence data.

Collaborative Classification of Large, Growing Collections with Evolving Facets. Demo: http://fmcp.seven.research.odu.edu/

The Learnehr program implements the Semi-Supervised Set Covering Machine (S3CM) algorithm for Electronic Health Record (EHR) freetext classification. This work is part of the Wellcome Trust and NIHR funded project CALIBER.

This project aims to implement in java the following text mining techniques: Text Language Detection, Keywords and keyphrases extraction, Text Classification, Text Clustering, Single or multiple documents Summarization, Plagiarism Detection.

This RapidMiner-plugin consists of operators for feature selection and classification - mainly on high-dimensional (microarray-) data - and some helper-classes/operators.

R package for classification under label uncertainty. (WARNING: this is a an early version under development, function definitions might change without notice.)

this is a qt plugin for implementing image clustering and image classification

SVM# is a svm(support vector machine) classification implemented in C#. The project contains both train and predict modules.

Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.

An information extraction library implementing modern algorithms for the extraction of named entities from text.

Provides a set of tools for processing text, such as text extraction and classification. Classification implementations to be implemented include: Bayesian and Statistical (N-gram).

The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.

An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.